Preference modelling and applications. Selected papers from EUROFUSE 2001, Granada In many real decision situations the available preference information is often vague, imprecise or uncertain. Among the appropriate tools to overcome these di culties is fuzzy logic. The resulting preference models ex
Preference modeling and applications: EUROFUSE 2001
✍ Scribed by Bernard De Baets; Miguel Delgado; Janos Fodor; Francisco Herrera; Enrique Herrera-Viedma; Luis Martínez
- Book ID
- 102279678
- Publisher
- John Wiley and Sons
- Year
- 2003
- Tongue
- English
- Weight
- 33 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0884-8173
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✦ Synopsis
This special issue encompasses eight papers devoted to recent developments in the field of preference modeling. The issue originates from presentations at the EUROFUSE Workshop on Preference Modeling and Applications (EUROFUSE 2001) that was held in Granada, Spain, April 25-27, 2001. These eight original contributions have been revised thoroughly and expanded to become the articles currently presented in this issue.
Preference modeling is a fundamental step in solving problems in various fields such as economics, medical diagnosis, information retrieval, decision theory, etc. Most of these problems take place in a complex environment where uncertain and imprecise knowledge and possibly vague preferences have to be considered. To face such complexity, preference modeling requires the use of specific techniques and concepts that allow the available information to be represented appropriately. As is well known, the fuzzy approach has led to considerable advances in preference modeling, mainly because the use of fuzzy techniques increases the reliability and flexibility of decision models.
The present issue includes different proposals of fuzzy preference modeling in several application fields. The first group of articles is focused on the study of different aspects of preference modeling in Multicriteria Decision Making
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